How it works...

When data has different ranges, the impact on response variables might be higher than the one with a lesser numeric range, which can affect the prediction accuracy. Our goal is to improve predictive accuracy and ensure this doesn't happen. Hence, we may need to scale values under different features so that they fall within a similar range. Through this statistical procedure, it's possible to compare identical variables belonging to different distributions and different variables or variables expressed in different units.